Blogs

Gender wage gap analysis using US current population survey data

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analysis

Traditionally Oaxaca-Blinder decomposition is used to decompose the wage gap into explained and unexplained parts. The explained part is due to differences in observable…

More on Correlated Random Effect (CRE)

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Jeff Wooldridge suggested using Correlated Random Effect (CRE) for binary outcomes in this twitter post: https://x.com/jmwooldridge/status/1986100627454206220

Using numpyro

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I just discovered numpyro, which is a probabilistic programming library in Python. It can be coupled with Jax and is very powerful.

Uplift model in python

python

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Uplift modeling is a technique used to estimate the incremental impact of a treatment or intervention on an outcome, often used in marketing. It helps identify which…

Causal simulation

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Evans, R. J., & Didelez, V. (2024). “Parameterizing and simulating from causal models” is about simulating from a causal model. I found that interesting.

longitudinal modified treatment policy (LMTP)

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I read a few papers with longitudinal modified treatment policy (LMTP), and found it interesting. It has been used in epidemiology and biostatistics, but I have not seen it…